bias in emotion tracking

AU23 - lip tightener - Facial Action Coding System - FACS

We seem to subscribe to the popular oversimplification that machines are less biased than humans; however, if you are familiar with the ways in which machines are trained to read and focus on different aspects of data, you will know: It’s just not that simple.

Machines are not free of bias if they are trained by humans.

The following is a presentation of the different types biases that can occur in face tracking and expression labeling. Many of these biases can be reduced; so I have also included suggestions for improved methods. If you are working on face & emotion tracking of any type, it is your responsibility to be aware of these biases.

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  1. Pingback: “it’s all in the eyes” and other lies: a critique on contemporary emotion research – Face the FACS

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